Job Description

Direct message the job poster from Mutinex

About Mutinex

Mutinex is a data and marketing analytics startup transforming the multi-trillion-dollar advertising industry by challenging the traditional consulting-based approach to Market Mix Modelling. We are expanding our team and welcoming experienced talent to build collaboratively our globally-used and transformative marketing measurement product suite - GrowthOS, DataOS, MAITE. We empower marketers by helping them to understand the value of their past decisions and the impact of future marketing spend. With offices in Sydney, Melbourne and New York City, we encourage you to work in the way that maximises your performance.

Whats the role?

We are looking for a Senior/Staff Data Scientist to help grow our uniquely positioned model stack. With a special focus on model and data product development and marketing science, you will take charge of our models in finding ways to improve robustness and streamlining our parameter space. You will also support and lead the scaleable and automated deployment of our models and data products for new customers. As a fast growing startup, your work will help refine our data platform by refining its engine: our state of the art marketing investment models. Improving our models and data products will directly contribute to our growth.

The mission of our data science team is to be the central nervous system of Mutinex.

Day to day

• Automation of model operations, with a critical focus on quality and customer success.
• Scaling modelling features that are useful for 1 customer to a pan-customer global context.
• Development of novel model and data products.
• R&D POC work using contemporary developments in ML, AI, statistics.
• Excellence in software engineering - observable, resilient, tested at every abstraction layer, secure, scaleable applications that can be deployed with CICD, IaC, complete with versioning of every layer - we are all about excellent production ready data science.
• Writing: creating documentation for both data science and non-technical stakeholders; provide data science lens on insights and outputs from the model, processes, model and data products.

Required qualifications

• Strong Python - deep knowledge of the standard library, canonical best practices, contemporary trends, knowledge of multiple ML libraries.
• Strong principles in software engineering.
• Expertise in Bayesian Statistics.
• Experience working with multivariate time series data.
• Experience implementing statistical inference algorithms (e.g., particle-filters, variational inference).
• Solid understanding of fundamental mathematics for statistics and machine learning - probability theory, linear algebra, and calculus.
• Machine learning fundamentals.
• Bachelors/Masters/PhD in statistics, data science, or comparable quantitative degree - e.g. Engineering, Science.
• Strong cloud computing background, including IaC - GCP and Pulumi preferred, but okay if strong in any cloud and IaC.
• Experience working with a multitude of data stores - relational, OLAP, object, graph, time-series, key value, etc.
• Distributed data processing experience.
• Experience with MLOps.

Why Work With Us?

• Real Customer Impact: Your work directly shapes our platform and the success of our customers
• Challenging, Meaningful Work: Tackle complex data and infrastructure problems at scale
• Autonomy and Ownership: Drive initiatives end-to-end with support when you need it
• Learning and Growth: Collaborate with a thoughtful team of engineers and data scientists who love what they do
• Equity Ownership: All team members receive equity (ESOP)
• Parental Leave: 12 weeks paid leave for the primary carer, and 6 weeks for the secondary carer after 2 years
• Generous Time Off: 20 days of annual leave to start, plus 5 extra days after your first year, and 1 additional day each year after that (up to 30)
• Work from Anywhere: Take your laptop and work from anywhere in the world for up to 6 weeks each year

Were Committed to Inclusion

Mutinex is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants of all backgrounds, experiences, identities, and abilities.

If you need adjustments or accommodations during the application process, just let us know, were happy to support you.

Ready to Join Us?

If this sounds like a place where youd thrive, wed love to hear from you. Send us your resume and a short note about why this role excites youwe care more about what drives you than perfect formatting.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Science and Analyst
• Industries
• Software Development and Data Infrastructure and Analytics

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